Novel graph and image processing system

By combining high-resolution image sensors and deep learning algorithms with parallel computing technology, the limitations of graphics and image processing systems in terms of speed, accuracy, and functional diversity have been overcome, enabling efficient and real-time image processing and multimodal data analysis, thus meeting diverse user needs.

CN121810474APending Publication Date: 2026-04-07HUNAN CHEM VOCATIONAL TECH COLLEGE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-12
Publication Date
2026-04-07

AI Technical Summary

Technical Problem

Existing graphics and image processing systems have limitations in processing speed, accuracy, and functional diversity. They are unable to meet the needs of application scenarios with high real-time requirements and complex image feature extraction and classification capabilities. Furthermore, they are limited in function and cannot simultaneously meet the needs of multiple image processing tasks.

Method used

Employing a high-resolution image sensor, data preprocessing module, efficient filtering algorithm, deep learning algorithm, parallel computing technology, high-speed solid-state drive, and multi-core processor, combined with various display devices, it realizes image acquisition, processing, storage, and output, and has adaptive learning capabilities and multimodal data processing capabilities.

Benefits of technology

It significantly shortens image processing time, improves the accuracy of recognition and analysis, meets diverse user needs, provides real-time feedback and interactive functions, and enhances user satisfaction.

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Abstract

The invention provides a novel graph and image processing system which comprises an image acquisition module which adopts a high-resolution image sensor, has automatic focusing and exposure adjusting functions and is used for quickly and accurately acquiring static image and dynamic video image data. According to the novel graph and image processing system provided by the invention, through a parallel computing technology and an efficient algorithm, the image processing time is greatly shortened, and an application scene with a relatively high real-time requirement is met; through application of a deep learning algorithm and multi-modal fusion processing, the accuracy of image recognition, classification and analysis is improved, and image features can be extracted and a target object can be recognized more accurately. The system integrates various image processing functions and can process multi-modal data, so that diversified requirements of different fields and different users are met; meanwhile, due to the real-time feedback and interaction functions, the user can operate and control the image processing process more visually and conveniently, and the satisfaction degree of the user is improved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of image processing, and particularly relates to a novel graphics and image processing system. BACKGROUND

[0002] With the rapid development of information technology, graphics and image processing has been widely applied in many fields, such as computer vision, medical imaging, industrial detection, digital media, etc.

[0003] However, the existing graphics and image processing system has certain limitations in processing speed, precision and functional diversity. The traditional system consumes large computing resources and takes a long time to process large-scale image data, which is difficult to meet the real-time requirements of high application scenarios. In terms of image recognition and analysis accuracy, the feature extraction and classification ability for complex images is insufficient, resulting in the need to improve the recognition accuracy. Moreover, the functions of some systems are relatively single, and cannot meet the needs of multiple image processing tasks at the same time.

[0004] Therefore, it is necessary to provide a novel graphics and image processing system to solve the above technical problems. SUMMARY

[0005] The present application provides a novel graphics and image processing system, which solves the problem of certain limitations in processing speed, precision and functional diversity.

[0006] To solve the above technical problems, the present application provides a novel graphics and image processing system, which comprises:

[0007] An image acquisition module adopts a high-resolution image sensor and has automatic focusing and exposure adjustment functions, and is used for quickly and accurately acquiring static image and dynamic video image data;

[0008] A data preprocessing module is connected to the image acquisition module, and performs image denoising, grayscale, and normalization operations on the collected image data, and adopts efficient filtering algorithms and image enhancement techniques;

[0009] A graphics image processing core module is connected to the data preprocessing module, adopts advanced deep learning algorithms including convolutional neural networks and recurrent neural networks, combines parallel computing technology of multi-core processors and graphics processors, has self-adaptive learning ability, and can automatically adjust algorithm parameters according to image data and processing tasks;

[0010] A storage module is connected to the graphics image processing core module, adopts a combination of high-speed solid-state hard disks and large-capacity memories, is used for storing image data, processing algorithms and processing results, and has data backup and recovery functions;

[0011] The display output module is connected with the graphic image processing core module and the storage module, and supports multiple display devices.

[0012] Preferably, the display output module can output image files in different formats according to user requirements.

[0013] Preferably, the image sensor of the image acquisition module has a resolution of not less than 5000 pixels and a frame rate of up to 120 frames / s.

[0014] Preferably, the high-speed solid-state hard disk of the storage module has a reading speed of not less than 3000 MB / s and a writing speed of not less than 7000 MB / s.

[0015] Preferably, the high-speed solid-state hard disk comprises a storage device body, a clamping groove is formed in the side surface of the storage device body, a sliding groove is formed in the inner side surface of the clamping groove, a moving block is slidably connected to the inner side surface of the sliding groove, a through groove is formed in the inside of the moving block, two rotating shafts are rotatably connected to the both sides of the inner side surface of the through groove, a rotating block is rotatably connected to the middle of the two rotating shafts, and a plug-in interface is fixedly installed on the top of the rotating block.

[0016] Preferably, rubber pads are fixedly installed at the both ends of the inner side surface of the through groove, a clamping plate is fixedly installed at one end of the moving block, and recesses are formed at the both ends of the clamping plate.

[0017] Preferably, a metal plate is fixedly installed at the other end of the moving block, a magnetic plate is magnetically attracted to the side surface of the metal plate, and the magnetic plate is fixedly installed on the inner side surface of the sliding groove.

[0018] Compared with the related art, the novel graphic and image processing system has the following beneficial effects:

[0019] The novel graphic and image processing system provided by the application greatly shortens the image processing time through parallel computing technology and high-efficiency algorithms, meets the application scenarios with high real-time requirements, improves the accuracy of image recognition, classification and analysis through the application of deep learning algorithms and multi-modal fusion processing, can more accurately extract image features and identify target objects, integrates multiple image processing functions, can process multi-modal data, meets the diversified needs of different fields and different users, and provides real-time feedback and interaction functions, so that users can more intuitively and conveniently operate and control the image processing process, and the user satisfaction is improved. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 The flowchart of the first embodiment of the novel graphic and image processing system provided by the application is shown in the figure.

[0021] Figure 2A structural schematic view of a first embodiment of a novel graphics and image processing system provided by the present application;

[0022] Figure 3 A structural schematic view of a first embodiment of a novel graphics and image processing system provided by the present application; Figure 2 A structural schematic view of a first embodiment of a novel graphics and image processing system provided by the present application;

[0023] Figure 4 A structural schematic view of a first embodiment of a novel graphics and image processing system provided by the present application; Figure 1 A structural schematic view of a first embodiment of a novel graphics and image processing system provided by the present application.

[0024] In the figure, 1 is a storage device body, 11 is a clamping groove, 12 is a sliding groove, 2 is a moving block, 21 is a metal plate, 22 is a magnetic plate, 23 is a through groove, 24 is a rubber pad, 25 is a rotating shaft, 26 is a rotating block, 27 is a plug-in interface, 3 is a clamping plate, and 31 is a groove. DETAILED DESCRIPTION

[0025] The present application will be further described below in combination with the drawings and embodiments.

[0026] First embodiment

[0027] Please refer to Figure 1 Among them, Figure 1 A flowchart of a first embodiment of a novel graphics and image processing system provided by the present application. The novel graphics and image processing system comprises: an image acquisition module, which adopts a high-resolution image sensor, has automatic focusing and exposure adjustment functions, and is used for quickly and accurately acquiring static image and dynamic video image data;

[0028] A data preprocessing module, which is connected to the image acquisition module, performs image denoising, grayscale, and normalization operations on the acquired image data, and adopts high-efficiency filtering algorithms and image enhancement techniques;

[0029] A graphics image processing core module, which is connected to the data preprocessing module, adopts advanced deep learning algorithms including convolutional neural networks and recurrent neural networks, combines parallel computing technologies of multi-core processors and graphics processors, has self-adaptive learning ability, and can automatically adjust algorithm parameters according to image data and processing tasks;

[0030] A storage module, which is connected to the graphics image processing core module, adopts a combination of high-speed solid-state hard disks and large-capacity memories, is used for storing image data, processing algorithms, and processing results, and has data backup and recovery functions;

[0031] A display output module, which is connected to the graphics image processing core module and the storage module, supports multiple display devices.

[0032] The display output module can output image files in different formats according to user needs.

[0033] The image sensor resolution of the image acquisition module is not less than 5000 pixels, and the frame rate can reach 120 frames / s.

[0034] The read speed of the high-speed solid state disk of the storage module is not less than 3000MB / s, and the write speed is not less than 7000MB / s.

[0035] Compared with the related art, the novel graphics and image processing system provided by the application has the following beneficial effects:

[0036] Through parallel computing technology and efficient algorithms, the image processing time is greatly shortened, meeting the real-time requirement of high application scenarios; through the application of deep learning algorithms and multi-modal fusion processing, the accuracy of image recognition, classification and analysis is improved, the image features and target objects can be more accurately extracted; and the system integrates various image processing functions and can process multi-modal data, meeting the diversified needs of different fields and different users; at the same time, the real-time feedback and interaction function enables users to more intuitively and conveniently operate and control the image processing process, improving the user's satisfaction.

[0037] Second embodiment

[0038] Please refer to Figure 2 , Figure 3 and Figure 4 , based on the first embodiment of the application, a novel graphics and image processing system is provided, and the second embodiment of the application proposes another novel graphics and image processing system. The second embodiment is only a preferred mode of the first embodiment, and the implementation of the second embodiment will not affect the separate implementation of the first embodiment.

[0039] Specifically, the difference between the novel graphics and image processing system provided by the second embodiment of the application is that a novel graphics and image processing system, the high-speed solid state disk includes a storage device body 1, a clamping groove 11 is formed on the side surface of the storage device body 1, a sliding groove 12 is formed on the inner side surface of the clamping groove 11, a moving block 2 is slidingly connected to the inner side surface of the sliding groove 12, a through groove 23 is formed in the interior of the moving block 2, two rotating shafts 25 are rotatably connected to the inner side surfaces of the through groove 23, a rotating block 26 is rotatably connected between the two rotating shafts 25, and a plug-in interface 27 is fixedly installed on the top of the rotating block 26.

[0040] The inner side surfaces of the through groove 23 are fixedly installed with rubber pads 24 at both ends, one end of the moving block 2 is fixedly installed with a clamping plate 3, and recesses 31 are formed at both ends of the clamping plate 3.

[0041] The other end of the moving block 2 is fixedly provided with a metal plate 21, the side of the metal plate 21 is magnetically attracted to a magnetic plate 22, and the magnetic plate 22 is fixedly provided on the inner side of the sliding groove 12.

[0042] The metal plate 21 and the magnetic plate 22 are magnetically attracted, so that the moving block 2 is limited on the inner side of the sliding groove 12, and the clamping plate 3 is on the inner side of the clamping groove 11.

[0043] The two ends of the rotating block 26 abut against the rubber pads 24 when the rotating block 26 is rotated to the horizontal state, so that the rotating block 26 is limited.

[0044] The working principle of the novel graphic and image processing system is as follows:

[0045] When the plug-in interface 27 needs to be connected with other devices, the user can put fingers on the inner sides of the two grooves 31, then pull the clamping plate 3 to move the clamping plate 3 out of the inner side of the clamping groove 12, so as to drive the moving block 2 to move out of the inner side of the sliding groove 12, then the user can rotate the rotating block 26, so that the plug-in interface 27 is rotated out of the inner side of the through groove 23, then the user can plug the external data line into the inner side of the plug-in interface 27, and connect the storage device body 1 with other devices.

[0046] Compared with the related art, the novel graphic and image processing system has the following beneficial effects:

[0047] Through cooperation of the sliding groove 12, the moving block 2, the metal plate 21, the magnetic plate 22, the through groove 23, the rotating shaft 25, the rotating block 26 and the plug-in interface 27, after use, the plug-in interface 27 can be stored in the inner side of the sliding groove 12, so as to avoid the plug-in interface 27 from being exposed, and impurities from entering the inner side of the plug-in interface 27, and affecting the normal use of the plug-in interface 27.

[0048] The above is only an embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation according to the content of the specification and the drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A novel graphics and image processing system, characterized in that, include: The image acquisition module uses a high-resolution image sensor and has automatic focus and exposure adjustment functions to quickly and accurately acquire still images and dynamic video image data. The data preprocessing module is connected to the image acquisition module and performs image denoising, grayscale conversion, and normalization operations on the acquired image data, using efficient filtering algorithms and image enhancement techniques. The core module for graphics and image processing connects to the data preprocessing module. It employs advanced deep learning algorithms, including convolutional neural networks and recurrent neural networks, and combines the parallel computing technology of multi-core processors and graphics processors. It has adaptive learning capabilities and can automatically adjust algorithm parameters according to image data and processing tasks. The storage module, connected to the core graphics and image processing module, uses a combination of high-speed solid-state drives and large-capacity memory to store image data, processing algorithms and processing results, and has data backup and recovery functions. The display output module connects the graphics and image processing core module and the storage module, and supports a variety of display devices.

2. The novel graphics and image processing system according to claim 1, characterized in that, The display output module can output image files in different formats according to user needs.

3. The novel graphics and image processing system according to claim 1, characterized in that, The image sensor of the image acquisition module has a resolution of no less than 5,000 pixels and a frame rate of up to 120 frames per second.

4. The novel graphics and image processing system according to claim 1, characterized in that, The high-speed solid-state drive of the storage module has a read speed of no less than 3000MB / s and a write speed of no less than 7000MB / s.

5. A novel graphics and image processing system according to claim 4, characterized in that, The high-speed solid-state drive includes a storage device body. A snap-fit ​​slot is provided on the side of the storage device body. A sliding groove is provided on the inner side of the snap-fit ​​slot. A moving block is slidably connected to the inner side of the sliding groove. A through groove is provided inside the moving block. A rotating shaft is rotatably connected to both sides of the inner side of the through groove. A rotating block is rotatably connected between the two rotating shafts. An interface is fixedly installed on the top of the rotating block.

6. A novel graphics and image processing system according to claim 5, characterized in that, Both ends of the inner side of the through groove are fixedly installed with rubber pads, and one end of the movable block is fixedly installed with a snap-fit ​​plate, both ends of the snap-fit ​​plate are provided with grooves.

7. A novel graphics and image processing system according to claim 6, characterized in that, A metal plate is fixedly installed at the other end of the movable block, and a magnetic plate is magnetically attracted to the side of the metal plate. The magnetic plate is fixedly installed on the inner side of the slide groove.